Ololade Babatunde

Conducted CUDA-based performance exploration and benchmarking on desktop-class discrete GPUs and embedded Jetson Nano devices, identifying key optimization opportunities.

Profiled kernels using Nsight Systems and Nsight Compute to analyze memory access patterns, occupancy, and execution bottlenecks, leading to targeted performance improvements.

Built Dockerized GPU environments to ensure reproducible experiments and remote access, significantly enhancing support for student and faculty research within the PARS group.

Integrated NVIDIA Deep Learning Institute (DLI) teaching kits into benchmarking and educational pipelines, streamlining the development of heterogeneous CPU-GPU systems.

Prepared an internal technical report on memory-optimized GPU scheduling and performance modeling, contributing to advanced research documentation and knowledge dissemination.

Contributed to the development and implementation of software solutions, ensuring adherence to project specifications and timelines.

Collaborated with cross-functional teams to integrate new features and functionalities, enhancing overall system performance and user experience.

Applied best practices in software engineering to deliver high-quality code and maintain robust applications.

Assisted in teaching core programming concepts to first-year engineering students, covering variables, control flow, functions, data structures, and introductory algorithmic reasoning.

Led weekly lab sessions and office hours, guiding students through hands-on Python exercises and debugging practices, improving practical programming skills.

Supported the instructor in grading assignments, preparing teaching materials, and providing individualized feedback, significantly improving student understanding and performance.

Participated in the early stages of a research project focused on developing and optimizing real-time object detection algorithms for NVIDIA GPU architectures.

Conducted a comprehensive literature review on modern object detection models and state-of-the-art training pipelines, informing project direction.

Explored the NVIDIA TAO toolkit and planned strategies for model deployment, training optimization, and evaluation, contributing to project planning.

Gained hands-on experience with Python, Jupyter Notebook, linear/logistic regression, and deep learning methodologies relevant to computer vision, enhancing research capabilities.

Contributed to the full software development lifecycle, from conception to deployment, for various projects.

Collaborated with clients and internal teams to gather requirements and translate them into technical specifications.

Developed and maintained robust software applications, ensuring high performance, scalability, and reliability.

Developed and maintained full-stack web applications, ensuring seamless integration between front-end and back-end components.

Implemented new features and optimized existing ones, contributing to improved application performance and user satisfaction.

Collaborated with design and product teams to translate UI/UX wireframes into functional code.

Assisted senior engineers in various software development tasks, gaining practical experience in coding and debugging.

Participated in code reviews and learned about software development methodologies and version control systems.

Contributed to the testing phase of applications, ensuring functionality and identifying areas for improvement.

Spearheaded the growth of the Web Development community within the Computer Science department under the Nigeria Association of Computing Students (NACOSS), increasing engagement by an unspecified amount.

Designed and taught a structured curriculum covering HTML, CSS, and JavaScript for engineering students across multiple departments, enhancing their foundational web development skills.

Authored the official Web Technologies curriculum, which was subsequently adopted by the University of Ibadan chapter of NACOSS, establishing a standardized learning path.